Tạp chí Kinh tế và Phát triển,
Год журнала:
2024,
Номер
unknown, С. 94 - 116
Опубликована: Янв. 1, 2024
Purpose
-
The
circular
economy
(CE)
has
become
a
topic
of
dialogue
among
academia,
companies,
and
public
bodies.
Consumers
are
key
actors
in
the
loop,
yet
consumer
behavior
remains
at
periphery
research
this
area.
This
study
aims
to
propose
empirically
test
barriers
drivers
that
influence
consumers’
purchase
context
refurbished
smartphones
through
mediating
roles
switching
intention
intention.
Design/methodology/approach
first
reviewed
previous
developed
hypotheses
related
objectives.
Structural
equation
modeling
(SEM)
was
conducted
hypotheses,
employing
survey
data
gathered
from
762
consumers
Vietnam.
Findings
Our
findings
suggest
is
directly
influenced
by
consumers,
as
well
prices,
attitudes,
subjective
norms,
convenience
had
significant
positive
effect
on
In
addition,
innovativeness
intention,
perceived
risk
negative
Moreover,
found
mediate
relationship
between
push,
pull,
mooring
factors
behavior.
Practical
implications
informs
refurbishers
marketing
managers
about
proper
product
development
strategies
ultimately
increases
Originality/value
extends
existing
literature
accentuating
role
promoting
adoption
products.
Keywords
Circular
economy,
behavior,
Sustainability,
Год журнала:
2025,
Номер
17(4), С. 1644 - 1644
Опубликована: Фев. 17, 2025
This
research
adopted
a
distinctive
approach
to
explore
the
link
between
corporate
environmental
performance,
customer
satisfaction,
and
firm
performance.
It
also
examines
moderating
role
of
digital
transformation
on
these
relationships.
We
collected
longitudinal
data
covering
2745
firm-year
observations
from
U.S.
Standard
&
Poor’s
(S&P)
500.
Our
study
utilised
“the
generalised
method
moments
(GMM)
technique”
analyse
data.
The
results
revealed
that
one-unit
enhancement
in
CEP
in,
average,
10.1%
rise
growth
rate
ROA,
13.40%
increase
Tobin’s
Q,
14.2%
satisfaction.
Moreover,
moderates
links
CEP,
findings
our
guide
policymakers,
researchers,
shareholders,
managers
addressing
challenge
Investigación Administrativa,
Год журнала:
2025,
Номер
54-1, С. 1 - 15
Опубликована: Март 24, 2025
El
objetivo
de
esta
investigación
es
determinar
en
qué
medida
las
estrategias
visual
merchandising
y
diseño
atmósfera
comercial
manifiestos
los
entornos
comerciales
minoristas
inciden
el
comportamiento
consumidores.
método
estadístico
utilizado
fue
modelización
ecuaciones
estructurales
PLS-SEM,
con
una
muestra
342
Los
resultados
manifiestan
que
merchandising,
comercial,
motivación
tipos
compra,
tienen
un
efecto
significativo
positivo
compra
del
consumidor.
hallazgos
muestran
conductor
más
fuerte
sobre
constructo
por
lo
estímulos
visuales,
ambientales
sensoriales
son
determinantes
la
intención
La
originalidad
modelo
aporta
conocimiento
empírico
para
experiencias
multisensoriales
espacios
comerciales.
Como
limitante,
puede
no
incluir
todos
factores
posibles
influyan
Sustainability,
Год журнала:
2025,
Номер
17(7), С. 2928 - 2928
Опубликована: Март 26, 2025
Big
data
analytics
(BDA)
has
recently
received
significant
public
interest
and
is
widely
considered
as
a
transformative
technology
set
to
improve
organizations’
environmental
performance.
However,
prior
empirical
studies
have
yielded
inconsistent
findings.
Based
on
organizational
learning
theory,
our
paper
utilized
longitudinal
approach
understand
the
relationships
between
big
implementation
corporate
This
project
also
investigates
role
of
industry
environment
in
influencing
these
relationships.
employed
from
172
firms
covering
2408
firm-year
observations
Fortune
200
firms.
We
“the
generalized
method
moments
(GMMs)
technique”
test
study
assumptions.
Our
analysis
shows
that
one-unit
improvement
BDA
leads
to,
average,
2.8%
performance
(CEP).
In
addition,
impact
CEP
greater
more
complex
dynamic
settings.
offers
meaningful
implications
for
scholars
managers
influence
across
various
Moreover,
this
provides
refined
comprehension
ramifications
BDA,
consequently
addressing
essential
enquiries
how
when
can
Information,
Год журнала:
2025,
Номер
16(4), С. 276 - 276
Опубликована: Март 29, 2025
Problem:
Remanufacturers
want
to
increase
consumer
interest
in
refurbished
products,
which
motivates
the
need
understand
product
features
are
important
buyers
of
products
such
as
mobile
phones.
Research
Questions:
This
study
addresses
two
questions.
First,
most
for
iPhones?
Second,
how
do
those
preferences
differ
from
new
Methods:
Online
reviews
iPhones
obtained
and
converted
into
a
document–term
matrix.
Using
this
text
model,
three
subsets
identified
using
statistical
analysis
frequency
mention:
frequent,
average,
least
frequent.
A
logistic
regression
(LR)
model
is
then
used
identify
predictive
whether
review
or
phone.
Results:
Buyers
phones
mention
battery
health,
screen/display,
shell
condition,
brand
significantly
more
often
than
other
features.
Directly
contrasting
versus
shows
that
brand,
speaker,
charger
found
be
indicated
Of
those,
condition
others.
Implications:
The
results
remanufacturers
can
emphasize
customer
demand.
Revista de Gestão Social e Ambiental,
Год журнала:
2024,
Номер
18(6), С. e07442 - e07442
Опубликована: Июнь 7, 2024
Purpose:
Understanding
how
consumers
feel
about
buying
Fast-Moving
Consumer
Goods
(FMCG)
from
other
countries
is
an
important
topic
for
researchers
around
the
world.
The
goal
of
this
investigation
to
identify
elements
determining
consumer
preferences.
Methodology:
This
study
uses
analysis
variance
(ANOVA)
determine
relevance
factors
customers'
preferences
towards
foreign
FMCG
items.
In
order
investigate
effects
several
variables,
including
cultural
considerations
(F1),
cost
(F2),
societal
consequences
(F3),
goods
specifications
(F4),
self-related
characteristics
(F5)
and
emotional
determinants
(F6),
employs
information
gathered
a
sample
250
customers.
determines
which
variables
possess
biggest
on
behaviour
by
using
ANOVA.
relative
significance
these
in
influencing
customer
can
be
determined
through
systematic
examination
variation
components
their
corresponding
stages,
made
possible
Findings:
It
was
discovered
that
although
F2
had
no
discernible
impact
decision
buy,
such
F1,
F3,
F4,
F5
F6
beneficial
effect
behaviour.
most
variable
affecting
product
behaved
factor
F1.
Market
crises
pose
significant
challenges
for
businesses,
emphasizing
the
importance
of
effective
crisis
management
strategies.
Central
to
these
strategies
is
ability
identify
and
retain
loyal
customers,
who
often
serve
as
bedrock
stability
during
tumultuous
times.
This
paper
investigates
application
deep
meta-learning
analysis
predict
customers
a
cornerstone
market
management.
Drawing
upon
an
extensive
literature
review,
study
explores
previous
research
on
crises,
customer
loyalty,
evolution
learning
in
contexts.
Methodologically,
outlines
data
collection,
model
development,
evaluation
procedures
tailored
meta-learning-based
prediction.
In
results,
overall
accuracy
85%,
precision
0.88,
recall
0.82,
F1-score
0.85
were
obtained.
The
demonstrates
effectiveness
models
accurately
identifying
offering
insights
into
their
performance
applicability
compared
traditional
methods.
Practical
implications
include
potential
applications
businesses
considerations
real-world
implementation.
